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skellefteå, sweden
It's currently 8:56 PM here
Joined November 23, 2017
0 Recommendations
Oscar L.
@lundbergoscar
3.9
3.9
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skellefteå, sweden
100%
Jobs Completed
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On Budget
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On Time
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Repeat Hire Rate
Engineering physicist - Math, Algorithms, Programming
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$125.00 USD
Algorithm
Statistics
Machine Learning (ML)
Resumes
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$200.00 USD
Algorithm
Statistics
Machine Learning (ML)
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$21.00 USD
Machine Learning (ML)
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Experience
Data Scientist/Physicist
Aug 2017 - Present
Working in a project where we develop a method for single-molecule DNA sequencing. I mainly work with algorithms and data analysis. The work includes complex math, physics, statistics, signal analysis and machine learning.
- Been main responsible person for data analysis (mainly in Python).
- Been leading the internal R&D meetings.
- Built and set up a Django application.
- Optimized the old data analysis algorithms to reduce the analysis time from 40 hours to 4.
- Set up a server for SVN.
Researcher (Summer Internships)
Jun 2015 - Aug 2016 (1 year, 2 months)
Simulations and numerical analysis of electromagnetic field distributions around antennas, using different simulation software based on finite integration technique and method of moments. Also investigated probe responses to HF fields and conducted power density measurements on antenna arrays related to 5G research. Due to the likely use of higher frequency bands in upcoming 5G, antenna arrays may be employed to a larger extent in order to make use of beamforming for increased link budget.
Teaching assistant
Aug 2014 - Nov 2014 (3 months, 1 day)
Teaching assistant at the teaching of circuit theory (first cycle). I was responsible for guiding the students during the lab sessions involving simulations and building the simulated circuits.
Among the topics in the course are Kirchhoff’s circuit laws, complex impedance method, transient analysis and PSpice simulations.
Education
Master of Science in Engineering Physics
(5 years)
Technical preparatory semester
(1 year)
Qualifications
R Programming
Coursera
2015
Practical Machine Learning
Coursera
2015
Machine Learning
Coursera
2015
Publications
Power Density Measurements at 15 GHz for RF EMF Compliance Assessments of 5G User Equipment
IEEE Transactions on Antennas and Propagation, 2017
In this paper, different measurement schemes are studied in order to investigate the possibilities and limitations of scalar- and vector-based measurement systems for radio frequency electromagnetic fields compliance assessments of fifth generation mobile communication user equipment (UE). Two UE antenna array designs, transmitting at 15 GHz and employing patch and notch antenna elements, are considered for different phase excitations.
Approximation of ab initio potential of carbon nanomaterials with machine learning
DiVA LTU 2017
In this work potentials of carbon nanomaterials calculated with Density Functional Theory (DFT) are approximated using an Artificial Neural Network (ANN). Previous work in this field has focused on estimating potential energies of bulk structures. We investigate the possibility to approximate both the potential energies and the forces of periodic carbon nanotubes (CNTs) and fullerenes.
Channel Characteristics Variations from Switching Between Narrow Beams
DiVA MSc Thesis 2017
The demand for higher throughput and lower latency in telecommunication systems is growing. Upcoming telecommunication systems will operate at higher frequencies (above 15 GHz) compared with previous systems (below 6 GHz). Antenna arrays will be employed in upcoming systems for increased link budget (coverage) and multiple input multiple output channels. This implies that narrow beams will be used. Beam tracking and beam steering is necessary to follow the user equipment.
Narrow Beam Channel Characteristics Measured on a an 5G NR Grid-of-Beam Test-bed
IEEE VTC 2018
Massive MIMO enabling dynamic beamforming is one key component in 5G New Radio (NR). Narrow beams improve capacity by reduced interference and extend coverage by increased antenna gain. One implementation of dynamic beamforming is Grid-of-Beams (GoB) with fixed narrow beams. In this study, the per beam characteristics are measured in a full-scale micro cell deployment with a mm-wave 5G NR test-bed.
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